Analysis of digitizing errors of a laser scanning system

Feng, Hsi-Yung; Liu, Yixin; Xi, Fengfeng

doi:10.1016/s0141-6359(00)00071-4

Cited by 145 publications

(70 citation statements)

References 16 publications

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“…It also suffers from problems of digitization of any non-surface features such as slots or holes, due to occlusions and obscuration of these artefacts. In general, laser line scanning is considered to be less accurate in comparison with tactile probing [7].…”

Section: Introductionmentioning

confidence: 99%

Rapid and accurate reverse engineering of geometry based on a multi-sensor system

Feng

Longstaff

Fletcher

et al. 2014

Int J Adv Manuf Technol

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The reduction of the lead time in measurement and reverse engineering, and the increased requirements in terms of accuracy and flexibility, have resulted in a great deal of research effort aimed at developing and implementing multisensor systems. This paper describes an effective competitive approach for using a tactile probe to compensate the data from a laser line scanner to perform accurate reverse engineering of geometric features. With the data acquired using laser scanning, intelligent feature recognition and segmentation algorithms can be exploited to extract the global surface information of the object. The tactile probe is used to re-measure the geometric features with a small number of sampling points and the obtained information can be subsequently used to compensate the point data patches which are measured by laser scanning system. Then, the compensated point data can be exploited for accurate reverse engineering of a CAD model. The limitations of each measurement system are compensated by the other. Experimental results on three parts validate the rapidity and accuracy of this multi-sensor data fusion approach.

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Section: Introductionmentioning

confidence: 99%

Rapid and accurate reverse engineering of geometry based on a multi-sensor system

Feng

Longstaff

Fletcher

et al. 2014

Int J Adv Manuf Technol

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“…Undesired effects of the scan depth and, more importantly, of the projected angle are not considered in the standard calibration procedure. The resulting digitalizing error in the laser-scanned data represents a combination of random error and systematic error [28]. Simulation of the part surface reflection is beyond the scope of this paper.…”

Section: Non-ideal Effectsmentioning

confidence: 99%

Simulation of Laser Triangulation Sensors Scanning for Design and Evaluation Purposes

Cajal¹,

Santolaria²,

Samper³

2015

Int. j. simul. model.

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Nowadays, computerized dimensional inspection is included in most manufacturing processes. Industrial vision systems, laser triangulation sensors (LTS) in particular, are responsible for ensuring dimensional and geometrical tolerance compliance. Computer-aided design / computer-aided engineering (CAD/CAE) plays an important role in the manufacturing process. However, in the design and engineering of LTS, there is no equivalent computer-aided tool to provide assistance to the process definition. This paper presents a simulation environment to assist with this issue. Based on the CAD files of the parts, all the parameters of an LTS sensor and its scanning strategy can be simulated in a virtual Direct3D environment. This simulation provides a re-creation of the camera acquisition, allowing collision and occlusion detection and ensures complete and effective digitalization. Furthermore, the capability of the process of tolerance compliance evaluation can be verified. Once the effectiveness of the process is proven, the simulation can be employed for continuous performance improvement and the incorporation of new parts.

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“…A thorough analysis of digitizing errors has been presented [11] and methods for error correction based on experimental process have also been discussed [12]. A methodology for comparison of laser digitizing relative to contact measurements was performed for validating the accuracy when measuring dimensional and geometrical tolerances [13].…”

Section: -P2mentioning

confidence: 99%

Errors in non-contact sensor measurements due to misalignment and scanning methodology

Warlick

Katz

2015

Int. J. Metrol. Qual. Eng.

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Abstract. Non-contact sensors are becoming an increasingly popular tool for use in dimensional measurement, inspection and quality control. However, there exist a number of challenges associated with the use of these non-contact sensors in dimensional inspection systems. One important challenge is to understand the associated measurement errors and determine the objective accuracy of such an inspection system. This paper examines the effect of misalignment and scanning methodology on the measurement accuracy of a non-contact dimensional inspection system. It is important to understand this topic since the majority of optical sensor manufacturers do not supply information about the alignment between the optical line of sight and the mechanical interface of the sensor or measurement system. We prove the evidence of this measurement error through both experimental results and simulation. Finally, by using a constant standoff measurement method we succeeded to show that the majority of inherent misalignment error can be eliminated.

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Analysis of digitizing errors of a laser scanning system

Cited by 145 publications

References 16 publications

Rapid and accurate reverse engineering of geometry based on a multi-sensor system

Rapid and accurate reverse engineering of geometry based on a multi-sensor system

Simulation of Laser Triangulation Sensors Scanning for Design and Evaluation Purposes

Errors in non-contact sensor measurements due to misalignment and scanning methodology

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